Melucci Dora, Bendini Alessandra, Tesini Federica, Barbieri Sara, Zappi Alessandro, Vichi Stefania, Conte Lanfranco, Gallina Toschi Tullia
Department of Chemistry Ciamician, University of Bologna, Via Selmi, 2, 40126 Bologna, Italy.
Department of Agricultural and Food Sciences (DiSTAL), University of Bologna, P.zza Goidanich 60, 47521 Cesena, Italy.
Food Chem. 2016 Aug 1;204:263-273. doi: 10.1016/j.foodchem.2016.02.131. Epub 2016 Feb 23.
At present, the geographical origin of extra virgin olive oils can be ensured by documented traceability, although chemical analysis may add information that is useful for possible confirmation. This preliminary study investigated the effectiveness of flash gas chromatography electronic nose and multivariate data analysis to perform rapid screening of commercial extra virgin olive oils characterized by a different geographical origin declared in the label. A comparison with solid phase micro extraction coupled to gas chromatography mass spectrometry was also performed. The new method is suitable to verify the geographic origin of extra virgin olive oils based on principal components analysis and discriminant analysis applied to the volatile profile of the headspace as a fingerprint. The selected variables were suitable in discriminating between "100% Italian" and "non-100% Italian" oils. Partial least squares discriminant analysis also allowed prediction of the degree of membership of unknown samples to the classes examined.
目前,特级初榨橄榄油的地理来源可通过有记录的可追溯性来确保,尽管化学分析可能会提供有助于进一步确认的信息。这项初步研究调查了快速气相色谱电子鼻和多变量数据分析用于快速筛选标签上宣称具有不同地理来源的市售特级初榨橄榄油的有效性。同时还与固相微萃取-气相色谱-质谱联用方法进行了比较。新方法适用于基于主成分分析和判别分析,将顶空挥发物特征作为指纹图谱来验证特级初榨橄榄油的地理来源。所选变量适用于区分“100%意大利产”和“非100%意大利产”的橄榄油。偏最小二乘判别分析还能够预测未知样品属于所考察类别的隶属度。